Optimal sizing of photovoltaic systems for loss minimization in distribution network

Shunnosuke Ikeda, Akiko Takeda, Hiromitsu Ohmori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The use of photovoltaics (PV) in electric power networks has increased because of advantages such as power loss reduction, environmental friendliness, voltage profile improvement, and postponement of system upgrades. However, using PVs of an inappropriate size leads to greater power losses due to variations in PV outputs and demand loads. Therefore, it is necessary to determine the optimal size of PVs. When one considers the various weather conditions and demand load profiles, the optimal PV sizing problem (OPSP) becomes a large-scale optimization that is difficult to solve. In this paper, to resolve this computational issue, we formulate the OPSP as a second-order cone programming model and propose a decomposition using the subgradient method for solving the partial Lagrangian dual problem. We implemented the proposed method on a 47-bus distribution feeder model, and the simulation results proved its viability.

Original languageEnglish
Title of host publicationSICE ISCS 2018 - 2018 SICE International Symposium on Control Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages185-192
Number of pages8
Volume2018-January
ISBN (Electronic)9784907764586
DOIs
Publication statusPublished - 2018 Apr 2
Event2018 SICE International Symposium on Control Systems, SICE ISCS 2018 - Tokyo, Japan
Duration: 2018 Mar 92018 Mar 11

Other

Other2018 SICE International Symposium on Control Systems, SICE ISCS 2018
CountryJapan
CityTokyo
Period18/3/918/3/11

Fingerprint

Photovoltaic System
Distribution Network
Electric power distribution
Second-order Cone Programming
Cones
Subgradient Method
Large-scale Optimization
Dual Problem
Decomposition
Viability
Weather
Programming Model
Resolve
Electric potential
Voltage
Partial
Decompose
Necessary
Output
Simulation

Keywords

  • large-scale optimization
  • partial Lagrangian relaxation (PLR)
  • Photovoltaics (PV)
  • second-order cone programming (SOCP)

ASJC Scopus subject areas

  • Process Chemistry and Technology
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization

Cite this

Ikeda, S., Takeda, A., & Ohmori, H. (2018). Optimal sizing of photovoltaic systems for loss minimization in distribution network. In SICE ISCS 2018 - 2018 SICE International Symposium on Control Systems (Vol. 2018-January, pp. 185-192). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/SICEISCS.2018.8330174

Optimal sizing of photovoltaic systems for loss minimization in distribution network. / Ikeda, Shunnosuke; Takeda, Akiko; Ohmori, Hiromitsu.

SICE ISCS 2018 - 2018 SICE International Symposium on Control Systems. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 185-192.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ikeda, S, Takeda, A & Ohmori, H 2018, Optimal sizing of photovoltaic systems for loss minimization in distribution network. in SICE ISCS 2018 - 2018 SICE International Symposium on Control Systems. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 185-192, 2018 SICE International Symposium on Control Systems, SICE ISCS 2018, Tokyo, Japan, 18/3/9. https://doi.org/10.23919/SICEISCS.2018.8330174
Ikeda S, Takeda A, Ohmori H. Optimal sizing of photovoltaic systems for loss minimization in distribution network. In SICE ISCS 2018 - 2018 SICE International Symposium on Control Systems. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 185-192 https://doi.org/10.23919/SICEISCS.2018.8330174
Ikeda, Shunnosuke ; Takeda, Akiko ; Ohmori, Hiromitsu. / Optimal sizing of photovoltaic systems for loss minimization in distribution network. SICE ISCS 2018 - 2018 SICE International Symposium on Control Systems. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 185-192
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